You will build and maintain production-grade Kubernetes infrastructure on bare metal and cloud environments to support high-scale AI inference workloads. Working directly with technical founders who built infrastructure at Crusoe Energy, you will implement GitOps workflows using ArgoCD to manage fleets of clusters for customers, including a major $5B enterprise.
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San Francisco, United StatesNot Disclosed
Kubernetes DevOps Engineer at MIT-founder led AI infrastructure startup
Building the 'operating system' for AI inference, this MIT-founded seed-stage startup is making distributed computing as accessible as the PC once was. They are looking for a Kubernetes expert who can move beyond managed services to build bare-metal clusters from scratch for a $5B customer. You will work directly with a technical co-founder who built infra at Crusoe Energy, owning the full stack of GitOps, GPU orchestration, and high-performance networking in San Francisco. If you want to skip the platform team bureaucracy and ship production-grade infrastructure for the AI boom, this is your role.
Overview
Role overview
Company
Aranya
MIT-founder led seed-stage startup building a GitOps-native distributed operating system for AI inference
Responsibilities
What you will do
- Build, provision, and maintain production Kubernetes clusters from scratch across bare metal, cloud, and hybrid environments.
- Architect and implement GitOps-driven workflows using ArgoCD and GitLab CI to automate the lifecycle of distributed systems.
- Manage and optimize high-performance infrastructure tailored for GPU workloads, including high-throughput networking and distributed storage with Ceph.
Candidate profile
Who this is a fit for
- Proven experience building Kubernetes clusters from the ground up on bare metal, not just managing cloud-native services like EKS or GKE.
- Deep technical expertise with infrastructure-as-code and automation tools including Ansible, ArgoCD, and the LGTM observability stack.
- Strong background in performance tuning and reliability engineering with the ability to debug complex distributed systems under production pressure.**
What makes it remarkable
Why this role is remarkable
- Work directly under a technical co-founder who pioneered GPU and K8s infrastructure at Crusoe Energy and Hyperbolic.
- Join a high-traction seed-stage startup already serving a $5B customer and addressing the massive AI inference infrastructure boom.
- Gain true ownership of the full stack, moving beyond managed services to build custom bare-metal cluster architectures from the ground up.
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